Q3V080 AF NFT

Zinc finger protein 583

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihvwjgwfd7rftc6lfm5bxrqr6j5k4p7ctmceqngs7yxh3zahnz3zq/metadata.json
IPFS of structure file: 
bafybeihj5dlxyfd7ihbd2mmjdnqbqkhfmmze42d4bsxvi3njgq2qapefui/AF-Q3V080-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc0F878C3f3E2a1874e2A6daC80d429e553DdB0D5
First NFT owner address (bech32): 
genesis1cru83slnu2scwn32dkkgp4pfu4famvx4x7nssv
Current NFT ID #541316 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
541316
Accession (UniProt):
Q3V080
Name::
Zinc finger protein 583
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q3V080 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3V080|ZN583_MOUSE Zinc finger protein 583 OS=Mus musculus OX=10090 GN=Znf583 PE=2 SV=1 MSKNLLTFEDVSVNFTQEEWQWLSDTQRDLYRKVTLENYKSLVSLGIPVYKPAVISLLEQGKDPWMVQKKGARDTCPDWQYVFKGTEFISKQDIYKESAKVLTMGRSHFSSSLDCPDLKEDHENEDWFKNRLGRQEVHSHQLFITHKEVPESEIRGCNPSCQAVHQNAILDVPQCSSTKERIDQSEPQKRSYRKKSVEMKHKKVQVEKRILKCSECEKVFNQTSSLTLHQRIHTGEKPYACVECGKAFSQSANLAQHKRIHTGEKPYECKECRKAFSQNAHLAQHQRVHTGEKPYQCKECKKAFSQIAHLTQHQRIHTGERPFECIECGKAFSNGSFLAQHQRIHTGEKPYVCHVCGKAFSHRGYLIVHQRIHTGERPYECKECRKSFSQYAHLSQHQRVHTGEKPYECKVCRKAFSQVAYLDQHQRVHTGEKPYECAECRKAFSNSSSLAQHQRSHTGEKPYICKECRKTFSQNAGLAQHQRIHTGEKPYECNICGKAFSYSGSLTLHQRIHTGERPYECKDCRKSFRQRAHLAHHEKVHTMESFLSLSSPSPSMSSQLPRTLGLIS